A Minimal Book Example
1
About
2
Review and Background Information
2.1
Types of Variables and Data
2.2
Probability as a relative frequency or a percent chance of occurrence
2.3
Some Examples
2.4
Independence
2.5
Mutual Exclusion
2.6
Bayes Rule and Dependence
3
Univariate and Multivariate Distributions
3.1
Moments
3.2
Likelihood Functions
3.3
Example
4
Env Data Analysis 2017-01-17
4.1
About the Class
4.2
Some Review Material
4.2.1
What’s the Right Distribution?
4.2.2
Moments of Random Values
4.2.3
Types of PDF
4.2.4
Fitting Parameters for Distributions
5
Env Data Analysis 2017-01-22
5.1
Likelihood
6
Lecture 2017-01-24
6.1
Environmental Data
6.1.1
Data Science
6.1.2
Why Write a Computer Program?
6.1.3
Today:
R
Computing
6.2
Getting Started with R
6.2.1
R
: Base plus Packages
6.2.2
Arithmetic
6.2.3
Assignment Best Practices
6.2.4
Character Data
6.2.5
Boolean Data
6.2.6
Vectors
6.2.7
Vector Selection
6.2.8
List Data
6.2.9
Matrices
6.2.10
Matrix Math
6.2.11
Data Frames
6.2.12
Tibble
6.2.13
Creating Data Frames
6.2.14
Defining Functions
6.3
Statistical Computing
6.3.1
Generate Random Numbers
6.3.2
Get the PDF
6.3.3
Other Functions
6.3.4
For Loops
6.3.5
For Loops and Density Plots
6.4
Data Wrangling
6.4.1
Tidy Data
6.4.2
The
dplyr
Package
6.4.3
Pipe Operator
6.4.4
For Example
6.4.5
Visualization
6.4.6
DF to Vector
6.5
Next Steps
6.5.1
Get Practicing
6.5.2
Your Courses
6.5.3
RStudio
6.6
Appendix
6.6.1
Some Best Practices
6.6.2
Other Ways to Learn
R
7
Env Data Analysis 2017-01-29
7.1
Probability
References
Published with bookdown
Environmental Data Modeling and Analysis
References